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    Chapter 1:

    Introduction

    In todays world, it is very difficult for multinational

    companies to succeed in the market. Thanks to

    globalization, competition between multinational and local

    companies has increased. Multinational companies are

    changing their strategy in order to dominate the market.

    Therefore, companies are emphasizing on marketing.

    Marketing is the process whereby society, to supply its

    consumption needs, evolves distributive systems composed of

    participants, who, interacting under constraints -

    technical (economic) and ethical (social) - create the

    transactions or flows which resolve market separations and

    result in exchange and consumption. It focuses customer

    satisfaction in term of needs, wants and requirements.

    The attention given to customer satisfaction, however, does

    vary. While few businesses would state that they dont want

    to know what the customer thinks, there are those who seem

    to assume that the customer is satisfied with their

    products or services and that any attempt to measure

    satisfaction would be of little value. They may be correct

    in some cases, but in others they most surely are not; the

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    competitor who does measure customer satisfaction, and who

    figures out how to meet the customers preferences more

    effectively, will likely be in a position to take market

    share. This customer focused philosophy is known as the

    'marketing concept'. It is founded on the belief that

    profitable sales and satisfactory returns on investment can

    only be achieved by identifying, anticipating and

    satisfying customer needs and desires. In the early 1960s,

    Professor Neil Borden at Harvard Business School identified

    a number of company performance actions that can influence

    the consumers decision to purchase goods or services.

    Marketing effectiveness is the quality of how marketers go

    to market with the goal of optimizing their spending to

    achieve good results for both the short-term and long-term.

    The practice of marketing effectiveness is often criticized

    because it allegedly only focuses on short term revenue

    gains. When, in fact, by definition, it concentrates on

    marketing actions that can be taken to improve both short

    and long term results. Short term results improvements are

    measured in terms of revenue gains. Long term improvements

    are typically measured in terms of gains in brand equity in

    the minds of a companys customers.

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    Pakistan International Airline

    Pakistan International Airlines, or PIA for short, can

    trace its beginnings to the days when Pakistan was not an

    independent state.In 1946 Muhammed Ali Jinnah realized the

    need for an airline network for the forming country and

    called upon the help of an industrialist Mirza Ahmad

    Ispahani to develop a flag carrier for the

    nation.Meanwhile, an airline called Orient Airways,

    registered in Calcutta, was formed on October 23 1946. In

    February 1947, the airline brought three DC-3 airplanes

    from a company in Texas, and in May of that year the

    airline was granted a license to fly.Services were started

    in June from Kolkata to Sittwe and Yangon. This was the

    first post-war airline flight by a South Asian registered

    airline company.

    Two months after this service began, Pakistan was formed.

    Orient Airways began relief flights to the new nation and,

    soon after, it moved its operations to Karachi, where it

    began flights to Dhaka on June 7, 1954.The Government of

    Pakistan, realizing the operation was failing economically,

    proposed that Orient Airways merge into a new national

    airline. On March 11 1955, Orient Airways merged with the

    government's proposed airline, becoming Pakistan

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    International Airlines Corporation.In March 1960; PIA

    became the first Asian airline to use jet aircraft when

    Boeing 707 services were introduced.In 1964 PIA became the

    first airline from a non-communist country to fly to the

    People's Republic of China. As the Indo-Pakistani War of

    1965 broke out, PIA helped the Pakistani forces with

    logistics and transport.

    1.1 Purpose of Research

    The main purpose of this research is to highlight awareness

    about the importance of internal environment, satisfaction

    with employees and customer satisfaction on a companys

    performance .This research empirically studies about how

    these variables interlink and how internal environment,

    satisfaction with employees and customer satisfaction can

    help in the improvement of overall companys performance,

    where the company is either oriented toward sales.

    1.2 Scope of the Research

    The proposed research is effect of internal environment,

    satisfaction with employees and customer satisfaction on

    companys performance. This includes some outstanding

    features. This research will provide the reader to help

    determine the factors due to which companies can improve

    their financial performances by implementing the variables

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    mentioned above. The conceptual model explains how company

    performance improves.

    1.3 Objectives of Research

    The objective of this research is to measure how internal

    environment, satisfaction with employees and customer

    satisfaction can help in the improvement of companys

    overall financial performances. The research explores how

    the three variables are effecting on companys performance.

    This effect will help determine the companys performance

    before and after the changes due to these three variables.

    1.4 Problem Statement

    The main problem is that Pakistan international airline

    adopts sales oriented concept but they do not focus on

    internal environment, satisfaction with employees and

    customer satisfaction due to this reason the sales of

    Pakistan International Airline is constantly decreasing.

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    Chapter#2

    Literature Review

    Srinivason, Lilien (1999) suggest that customer information

    is an awareness positive feature which creates a

    competitive advantagefor a firm. It has a positive impact

    on performance of company .The customer information

    management provides information about customers level of

    satisfaction. In this paper authors study moderate

    environmental effect of firm customer environment on

    Customer Information Management, Customer Satisfaction and

    firm performance. The study is based on collected data of

    218 firms from national survey and also builds up different

    scales used for study by multi-phase, iterative procedure.

    After collecting data the regression analysis method was

    adopted to test the relationship .The result shows that

    there is a direct positive relationship between Customer

    Information Management, customer information and firm

    performance while indirect positive relationship with

    customer satisfaction.

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    Anderson and et al (1997) put forward that there was an

    impact of customer satisfaction, productivity and

    profitability on goods and services in terms of

    satisfaction and profit. They collected data of customer

    satisfaction from Swedish customer satisfaction Barometer

    (SCSB) and financial data was collected from marketing

    science institute. Using standardization and customization

    model to test these relation. The result showed that:

    1) Increase in customer satisfaction had positive impact on

    productivity and profit for goods (industry).

    2) Had high return on investment and customer satisfaction

    but low productivity (services).

    3) High productivity, low customer satisfaction and high

    return (departmental store, new papers).

    4) Supermarkets had high return with low productivity and

    customer satisfaction.

    5) Change in customer satisfaction and productivity

    positive for goods while negative for services.

    6) Both customer satisfaction and productivity positively

    effect with return on investment for goods and services.

    Edvardsson and et al (2000) propose that there is an effect

    of satisfaction and loyalty on profits and growth between

    products and services, because they depend on satisfaction

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    and loyalty. In this paper the authors investigate which

    variable is best for products and services in term of

    profit and growth. They gathered data from 32 Swedish

    industries and 130 companies. The satisfaction and loyalty

    data was collected from Swedish customer satisfaction

    index (SCSI) while financial data was taken from UC

    (translated from Swedish as the information bureau).After

    collecting data they used empirical study to find out

    these relationship and also conceptual model that link

    satisfaction, loyalty and performance. Results show that

    satisfaction has positive effect on loyalty (service) while

    loyalty has negative effect on firm performance on profit

    and growth is greater for services than product.

    Niraj and et al (2007) recommend that there is a need to

    understand customer level profitability because it means

    that how much companies earn profit through individual

    customer. In this paper authors investigate the

    relationships between individual customer level

    satisfaction and profitability impact of customer

    satisfaction and customer profit on profit. They gathered

    data from Beverage supply Co. (BSC).The method regression

    analysis is adopted for BSC. The result shows that there is

    a Positive correlation between customer satisfaction and

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    gross profit but it is changed through customer size and

    customer current level of satisfaction.

    Guo and et al (2001) recommend that there is an effect of

    customer satisfaction on profit and profit impact on

    customer satisfaction because past customer satisfaction

    effect on profit while past profit effect current

    satisfaction. In this study authors investigated marketing

    metrics such as customer satisfaction, sale and financial

    metrics such as profit and stock prices. They collected

    data from American Customer Satisfaction Index (ACSI) and

    other secondary resources .After collecting data, they used

    event study method to test these relations. The result

    shows that past satisfaction positively affect current

    return on asset while current satisfaction negatively

    affect return on asset.

    Wiele and et al (2001) imply that there is an effect of

    customer satisfaction on Business performance. In this

    paper the authors investigate the effect of customer

    satisfaction on organizational performance. He collected

    data from Flex Company that operates in many other

    countries. After collecting data they adopted longitudinal

    study .The result shows that there is a positive

    relationship between customer satisfaction and organization

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    performance but due to some factors this relation is not

    strong.

    Hallowell (1996) evokes that there is a relationship of

    customer satisfaction, customer loyalty, and profitability.

    In this paper the author finds the relationship between

    customer satisfaction, customer loyalty and profitability.

    He collected data from 12000 retail bank at 59

    divisions .After collecting data he used OLS regression of

    cross sectional data to test the relationship. The result

    shows that there is an effect of customer satisfaction and

    customer loyalty on profit of bank.

    Rhiansilvestro (2002) formulates that there is a

    relationship between customer satisfaction, dissatisfaction

    loyalty and financial performance because financial

    performances of a company depend on these factors. These

    factors whether positive or negative correlation with

    financial performance of a company. He collected data from

    Telecom Company, with four different businesses. One of

    them was service consumer and other three business to

    business. The method adopted in the study is longitudinal

    analysis and measure relationship between customer

    satisfactions, Loyalty, financial performance customer

    stated intention .The result shows that customer

    satisfaction positively propositional to revenue in one of

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    the companies of B2B services and customer dissatisfaction

    negatively effects on performances.

    Anderson and et al (1994) narrate that there is a

    relationship between customer satisfaction marketing share

    and profitability because when company satisfy customer

    then they want to expand business or increases market share

    at that time profit goes up but the level of customer

    satisfaction decreases. Therefore authors investigated

    whether these variables were directly or inversely

    proportional to each other. The study is based on data

    collected from 77 firms of Sweden. National customer

    satisfaction index and traditional accounting measures was

    used to find return on investment (ROI), positive impact of

    quality on customer satisfaction and profitability.

    Empirical forecast and new analytical model are used to

    show economic benefit of customer satisfaction. Results

    show that there is a positive impact of quality on customer

    satisfaction and positive effect of customer satisfaction

    in the long run. There is a negative impact on customer

    satisfaction when market share increases but in the long

    run both are together.

    Gupta and Zeithami (2003) describe that customer metrics

    have impact on financial performance.The main objective of

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    this study is to review and combine the current knowledge

    about the impact of customer metrics on the financial

    performance of the firms. They investigate unobserved and

    observed metrics and also overview these metrics and

    observe how they have been determined and represented in

    research. They offer nine empirical generalizations which

    have linkage that link between these metrics and their

    impact on firm financial performance of the firm.

    Kudu and et al (1997) advocate that there is a relationship

    between advertising, profitability and business strategy in

    Indiabecause these relationships show how much firms spend

    on advertising and its impact on firms performance. In

    this study authors investigate the relationship between

    advertising spending by firm and its impact on firms

    profit. They collected the data of 172 firms which included

    sale, advertising expenses, and assets value of firm. After

    collection of data , they used regression analysis method

    to test these relations .The results show that increase in

    advertise spend have no impact on firm value and increase

    in adverting may not affect sale have. After doing further

    research advertising show positive relation in four sectors

    (banking and financial, telecom, pharmaceutical and

    consumer durables)

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    Antonis Klidas (2007) aims to test four potential

    predictors of the behavior of empowered employees during

    the delivery of service to customers. Methodology used in

    research paper was questionnaire measuring employees'

    perceptions of training, performance-related rewards,

    customer-oriented culture, empowering management style, and

    empowered behavior was filled out by 356 frontline

    employees of 16 luxury hotels in seven European countries.

    These statistical analyses removed common-method bias.

    Results of regression analyses at the department level

    showed that two means of control customer-oriented

    culture and empowering management style correlated

    significantly with empowered behavior and in the end

    increase in companies Performance.

    In the light of literature the above literature review, we

    developed the following theoretical frame work.

    2.1 Theoretical Framework

    There are four variables

    1) Internal Environment (IE)

    2) Satisfaction with Employees (SE)

    3) Customer Satisfaction (CS)

    4) Companys Performance (CP)

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    The company performance is dependent variable while

    internal environment, satisfaction with employee and

    customer satisfaction is independent variables. The company

    performance is depending on these variables.

    2.2 Model

    CP= f (IE, SE, CS)

    CP= + 1 . IE + 2 . SE + 3 . CS + Where CP: COMPANYS PERFORMANCE

    IE: INTERNAL ENVIRONMENT

    Companys

    Performance

    Independent variable Dependent Variable

    Figure 2.1

    InternalEnvironment

    Satisfaction

    with Employee

    CustomerSatisfaction

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    SE: SATISFACTION WITH EMPLOYEE

    CS: CUSTOMER SATISFACTION

    : ERROR TERM2.2.1 DEPENDENT VARIABLE:

    The dependent variables are those that are observed to

    change in response to the independent variables. In this

    study dependent variable is Companys performance.

    2.2.2 INDEPENDENT VARIABLES:

    The independent variables are those that are deliberately

    manipulated to invoke a change in the dependent variables.

    It is a multivariate analysis as there are a number of

    independent variables, which directly affect the dependent

    variable i.e. companys performance. The independent

    variables involved in this study are:

    1. Internal Environment

    2. Satisfied With Employee

    3. Customer Satisfaction

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    CHAPTER 3

    DATA & METHODOLOGY

    Methodology:

    Tomasz Sobczyk and Tomasz Koch (2008)explains the

    conceptual framework of so called costs, effects and

    resources map that is intended to support performance

    analyses of the production value stream. Its purpose is to

    enhance manufacturing decision taking processes by

    providing relevant information related to production flows.

    The tool consists of five modules: production system model

    (value stream map), cost module, financial statement and

    inventory valuation module, resources analyses module, and

    operational metrics module. The tool has been equipped with

    appropriate metrics that enable analyses of production

    system dynamics.

    This was an analytical type of research to find out the

    impact of internal environment, satisfaction with employees

    and customer satisfaction on companys performance. Primary

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    data has been taken to conduct the research. The collected

    data was then analyzed by statistical measures i.e.

    regression analysis and correlation.

    3.1 Sample design:

    The procedure of selecting the sample of respondents is

    given below:

    3.1.1 Population:

    The subject/content of the study was to analyze the various

    factors that affect the Companys performance. In order to

    make research specific, I have focused on Pakistan

    international airlines headquarter Islamabad. So my

    population Pakistan international airlines headquarter

    Islamabad.

    3.1.2 Sample Size:

    A sample of hundred consumers was chosen from Pakistan

    International Airline Head quarter Islamabad.

    3.2 Data Collection:

    Basically in this report two types of data have been used.

    Both of are listed below:

    3.2.1 Primary Data:

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    Primary data is the one which is collected from the scratch

    meaning that the data is collected from the source and it

    has not changed hands. In this report primary data has been

    collected directly from the respondents. The data has been

    collected from the respondents came in PIA headquarter with

    the help of a survey. Questionnaires, consisting of 20

    questions, were developed to quantify my observations and

    give study a direction. The questions were structured,

    placed in a sequence, to understand the consumers

    perception. The respondents were chosen randomly and the

    data obtained from their questionnaires was analyzed to

    come up with the findings.

    Below the table shows the preference indicators assigned to

    the numbers on Likerts Scaling.5-point likerts scale has

    been used in all the Questions being 5 as strongly agree

    and 1 as strongly disagree.

    Numbers Assigned Indicators

    1 Strongly Agree

    2 Agree

    3 Neutral

    4 Disagree

    5 Strongly Disagree

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    3.2.2 Secondary Data:

    Secondary data is the one, which is collected from the

    secondary source. This research study also contains

    secondary data. The secondary data was collected for the

    purpose of literature review. The secondary data was

    collected from different research journals and further more

    different websites were used for this purpose.

    3.3 Procedure:

    This was an analytical type of research to find out the

    impact of internal environment, satisfaction with employees

    and customer satisfaction on companys performance. Primary

    data has been taken to conduct the research. The collected

    data was then analyzed by statistical measures i.e.

    regression analysis and correlation.

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    3.4 Hypotheses:

    Internal Environment

    H0: Internal Environment does not affect Companys

    performance.

    H1: Internal Environment does affect Companys performance.

    Satisfied With Employee

    H0: Satisfaction with employee does not affect Companys

    performance.

    H1: Satisfaction with employee does affect Companys

    performance.

    Customer Satisfaction

    H0: customer satisfaction does not affect Companys

    performance.

    H1: customer satisfaction does affect Companys

    performance.

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    CHAPTER 4

    RESULTS AND DISCUSSION

    4.1 Correlation:

    Table 4.1: shows the correlation between

    dependent and independent variables.

    CP IE SE CS

    CP Pearson Correlation 1 .633** .435** .816**

    Sig. (2-tailed) .000 .000 .000

    N 100 100 100 100

    IE Pearson Correlation .633** 1 .594** .872**

    Sig. (2-tailed) .000 .000 .000

    N 100 100 100 100

    SE Pearson Correlation .435** .594** 1 .542**

    Sig. (2-tailed) .000 .000 .000

    N 100 100 100 100CS Pearson Correlation .816** .872** .542** 1

    Sig. (2-tailed) .000 .000 .000

    N 100 100 100 100

    **. Correlation is significant at the 0.01 level (2-tailed).

    4.2 Interpretation:

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    According to the correlation applied between independent

    and dependent variables the results show a significant

    correlation among the independent and dependent variables.

    When the value of the independent variable is near or equal

    to 1 there is a strong relation between the independent and

    dependent variable and when the value of the independent

    variable is near or equal to 0 there is a weak or null

    relation between the independent and dependent variable.

    4.2.1 Internal Environment:

    The value of this variable according to the correlation

    is .633 which is quiet fair and near to 1 which shows that

    when the Internal Environment is improved, there is an

    increase in the Companys performance. This means that

    internal environment and companys performance are strongly

    related to each other.

    4.2.2 Satisfaction with Employee:

    The value of this variable according to the correlation

    is .435 which is quiet near to 1 which shows that when the

    Satisfaction with Employee is improved, there is an

    increase in the Companys performance. This means that

    satisfaction with employee and companys performance is

    strongly related to each other.

    4.2.3 Customer Satisfaction:

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    The value of this variable according to the correlation

    is .816 which is quiet near to 1 which shows that when the

    Customer Satisfaction is improved, there is an increase in

    the Companys performance. This means that customer

    satisfaction and companys performance are strongly related

    to each other.

    4.3 Regression Analysis

    Table 4.2

    Model R R Square

    Adjusted R

    Square

    Std. Error of

    the Estimate

    1 .833a .693 .684 .25655

    a. Predictors: (Constant), CS, SE, IE

    If R2 is greater than .80 there is a good fit to the data,

    where in our case R2 is .69 this means that there is a 69%

    variation in the dependent variable (Companys Performance)

    that can be explained by our independent variables.

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    Table 4.3

    Model

    Unstandardized

    Coefficients

    Standardized

    Coefficients

    B Std. Error Beta t Sig.

    1 (Constant) .856 .255 3.362 .001

    IE -.198 .068 -.355 -2.928 .004

    SE .068 .096 .050 .706 .482

    CS .710 .075 1.098 9.474 .000

    a. Dependent Variable: CP

    The coefficient of the independent variables shows a

    positive effect on the dependent variables (Companys

    Performance) accept for the coefficient of one of the

    independent variable i.e. IE, for which the value of the

    coefficient is -.335. It has the negative effect on the

    companys performance. Now by looking at the p-values for

    each independent variable i.e. IE, SE and CS, if the value

    of these independent variables is less than a(0.05), we

    will accept the null hypothesis and can say that these

    variables has an effect on the dependent variable. Whereas

    the value of SE is greater than 0.05 we will reject the

    null hypothesis and for the rest of the independent

    variables, the p-value is less than 0.05 so we will accept

    the null hypothesis.

    4.3.1 Internal Environment:

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    According to the table 4.3 the coefficient of this

    independent variable is -.35 which means that IE has a

    negative or null effect on the companys performance. The

    p-value for the IE is .004 which lies under the rejection

    region so we accept the null hypothesis and reject H1 with

    95% level of confidence. This analysis proves that IE is

    significant.

    #0; is significant

    4.3.2 Satisfaction with employee:

    According to the table 4.3 the coefficient of this

    independent variable is 0.05 which means that SE has a

    positive effect on the companys performance. The p-value

    for the SE is .48 which lies under the acceptance region so

    we reject the null hypothesis and accept H1 with 95% level

    of confidence. This analysis proves that SE is

    insignificant.

    =0; is insignificant

    4.3.3 Customer satisfaction:

    According to the table 4.3 the coefficient of this

    independent variable is 1.09 which means that CS has a

    positive effect on the companys performance. The p-value

    for the CS is 0.00 which lies under the rejection region so

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    we accept the null hypothesis and reject H1 with 95% level

    of confidence. This analysis proves that CS is significant.

    #0; is significant

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    CHAPTER 5

    CONCLUSION AND RECOMMENDATIONS

    5.1 Conclusion:

    After conducting this research study, it has been concluded

    that, all the independent variables have a strong

    relationship on dependent variable.

    Now according to the current situation of companys

    performance and sales we can easily see the decrease in

    sales. The sales chart of year 2009 is given below:

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    .

    This chart shows that sales are constantly decreasing and

    the factors involved in decreasing sales are the

    independent variables.

    Therefore with the improvement of the independent variables

    an increase in overall companys performance

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    5.2 Recommendations:

    5.2.1 Information desk:

    The Firstly We have to had an information desk on the

    entrance .In the beginning we can give charge of this duty

    to the security incharge as his duty is minimized after

    cargo was being shifted .He will resolve two issues

    immediately one token system and secondly guidance to

    beginners & uneducated customers. The current security

    arrangement which is currently inside the building should

    be placed outside the entrance which will make our entrance

    prominent and convenient for customers.

    5.2.2 Agent desk and separate sitting area:

    The second change we recommend is Agent desk and

    separate sitting area for agents. As Cargo desks are empty

    we can place one agent dealing international and one

    domestic if load of agents dealing cannot be handled by

    one. Minimize response time in agent dealing so they dont

    stays in the building for long .This assure that agent

    wont be able to divert customers towards them , cannot

    make the lounge crowded ,engaged customer desk for long and

    six agents can handle customer properly with minimum

    response time if agents are handled separately. So for this

    arrangement there will be no additional cost and it will be

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    the first step to one window operations. The Agent desk is

    being handled and supervised by corporate desk to have

    check on agents.

    5.2.3 One Window Operations:

    Third change we recommend is One Window Operations as

    we know we cannot change our system immediately to this so

    we have to go through partial transformation of system.

    Initially we can make one unit of a domestic agents and an

    international agent. Both will deal domestic and

    international customers simultaneously and complement each

    other work like on job training .They will have daily

    efficiency assessment by corporate desk managed by SPO and

    their gratuity fund will be based on their productivity.

    5.2.4 Corporate Desk Availability:

    Then we recommend having a Corporate desk should be placed

    which we can place at cargo manager office which is empty

    due to shifting of cargo, who will look after the exclusive

    clients ,supervise the agents desk and One window

    operations .He will assess and evaluate the performance of

    both desks on daily bases and compile appraisal of both

    desk according to their output .He will also facilitate out

    valued customer who are not satisfied with our PK agents

    and provide them with their required travel plan so that

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    they wont divert to other carriers. He will be the one who

    make sure that the system we recommended will properly be

    implemented and how effective it is for our office.

    5.2.5 An effective use of display screens and

    window glass:

    Finally we recommend an effective use of display screens

    and window glass for the purpose of generating addition

    revenue without encoring any cost. As we have some brand

    partners, hotels and travel service providers who are will

    to market their product for our travelers, we can provide

    them our window as a billboard and display screens for

    which we can charge them .It will help us change our dull

    same office theme frequently through commercial theme of

    brands and help us earn revenue internally for the office.

    This revenue can be utilized for the betterment of staff,

    help giving OWO desks and agents desks appraisal internally

    which will motivate not only them but also other employee

    to shift to new system. The theme will also provide

    physiological relaxation to employee and customer every

    time they enter into the office. We can also use these

    window and displays partially to promote PIA special offers

    and travel destinations thought it. Many more can be done

    thought this to earn revenues.

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    All our recommendations are based on Zero cost and

    without disturbing current system a lot, but we are sure

    that the output will be more than 20% by these changes and

    help build competitive customer service center according to

    global market. Our recommendations are based on proper

    placement and chain of command for check and balance.